Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

960 papers of 4,574 · showing 901–950Sort Recent · Most cited
  1. 2025PDF ↗
  2. 2025
    Closed-form merging of parameter-efficient modules for Federated Continual LearningRiccardo Salami, Pietro Buzzega, Matteo Mosconi … Simone CalderaraICLR
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  3. 2025
    LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model MergingKe Wang, Nikolaos Dimitriadis, Alessandro Favero … Pascal FrossardICLR
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  4. 2025
    Exploring Forgetting in Large Language Model Pre-TrainingLiao, Chonghua, Ruobing Xie, Sun, Xingwu … Zhanhui KangACL
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  9. 2025
    Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data SelectionAdyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit BansalICLR
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  10. 2025
    TWIST&SCOUT:GroundingMultimodal LLM-Experts by Forget-Free TuningAritra Bhowmik, Mohammad Mahdi Derakhshani, D.C. Koelma … Cees G. M. SnoekICCV
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  11. 2025
    Neuroplastic Expansion in Deep Reinforcement LearningJiashun Liu, Johan Obando-Ceron, Aaron Courville, Ling PanICLR
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  12. 2025
    Temporal-Difference Variational Continual LearningL. Melo, Alessandro Abate, Yarin GalNeurIPS
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  13. 2025
    LeanAgent: Lifelong Learning for Formal Theorem ProvingAdarsh Kumarappan, Mohit Tiwari, Peiyang Song … Anima AnandkumarICLR
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  14. 2025
    Large Continual Instruction AssistantJingyang Qiao, Zhang, Zhizhong, Xin Tan … Yuan XieICML
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  15. 2025
    Self-Updatable Large Language Models by Integrating Context into Model ParametersYu Wang, Xinshuang Liu, Xiusi Chen … Julian McAuleyICLR
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  16. 2025
    LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual LearningLiangzu Peng, Juan Elenter, Joshua Agterberg … René Víctor Valqui VidalICLR
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  17. 2025PDF ↗
  18. 2025
    DOTA: Distributional Test-Time Adaptation of Vision-Language ModelsZongbo Han, Jia-Long Yang, Junfa Li … Changqing ZhangNeurIPS
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  19. 2025
    Wake-Sleep Consolidated LearningAmelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri … Concetto SpampinatoTNNLS · University of Catania
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  20. 2025
    Towards LifeSpan Cognitive SystemsYu Wang, Chi Han, Tongtong Wu … Julian McAuleyTMLR
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  21. 2025
    When Meta-Learning Meets Online and Continual Learning: A SurveyJaehyeon Son, Soochan Lee, Gunhee KimTPAMI · Seoul National University · LG (South Korea)
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  22. 2025
    Continual Learning of Conjugated Visual Representations through Higher-order Motion FlowsSimone Marullo, Matteo Tiezzi, Marco Gori, Stefano MelacciNeural Networks
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  23. 2025PDF ↗
  24. 2025
    Buffer-based Gradient Projection for Continual Federated LearningShenghong Dai, Jy-yong Sohn, Yicong Chen … Kangwook LeeTMLR
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  25. 2025
    Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedDa-Wei Zhou, Zi-Wen Cai, Han-Jia Ye … Ziwei LiuIJCV · Nanjing University · Nanyang Technological University
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  26. 2025
    Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual LearningMohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad RostamiTMLR
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  27. 2025
    Rebalancing Multi-Label Class-Incremental LearningKaile Du, Yifan Zhou, Fan Lyu … Guangcan LiuAAAI
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  28. 2025PDF ↗
  29. 2025
    Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?Guiomar Pescador-Barrios, Sarah Filippi, Mark van der WilkICML
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  33. 2025
    Few-Shot Continual Learning via Flat-to-Wide ApproachesM. Anwar Ma’sum, Mahardhika Pratama, Edwin Lughofer … Ryszard KowalczykTNNLS · University of South Australia · Johannes Kepler University of Linz
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  34. 2025
    Theory on Mixture-of-Experts in Continual LearningHongbo Li, Sen Lin, Lingjie Duan … Ness B. ShroffICLR
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  35. 2025
    MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object DetectionZhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh … Yadan LuoICLR
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  36. 2025
    Multiagent Continual Coordination via Progressive Task ContextualizationLei Yuan, Lihe Li, Ziqian Zhang … Yang YuTNNLS · Nanjing University
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  38. 2025
    Towards Continuous Reuse of Graph Models via Holistic Memory DiversificationZiyue Qiao, Junren Xiao, Qingqiang Sun … Xiong, HuiICLR
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  39. 2025
    Learning Continually by Spectral RegularizationAlex Lewandowski, Bortkiewicz, Michał, Saurabh Kumar … Marlos C. MachadoICLR
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  41. 2025
    Perturbation-Restrained Sequential Model EditingJun-Yu Ma, Hong Wang, Hao-Xiang Xu … Jia-Chen GuICLR
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  43. 2025
    A Second-Order Perspective on Model Compositionality and Incremental LearningAngelo Porrello, Lorenzo Bonicelli, Pietro Buzzega … Rita CucchiaraICLR
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  44. 2025
    Adaptive Retention&Correction: Test-Time Training for Continual LearningHao Chen, Micah Goldblum, Zuxuan Wu, Yu–Gang JiangICLR
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  45. 2025PDF ↗
  46. 2025
    Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental LearningNisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl … Felix OttTMLR
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  47. 2025
    Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior ModelingSharmita Dey, Benjamin Paassen, Sarath Ravindran Nair … Arndt F. SchillingTMLR
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  48. 2025
    HFT: Half Fine-Tuning for Large Language ModelsTingfeng Hui, Zhenyu Zhang, Shuohuan Wang … Hua WuACL
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  49. 2025
    GenOL: Generating Diverse Examples for Name-only Online LearningMinhyuk Seo, Seongwon Cho, Minjae Lee … Jonghyun ChoiTMLR
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  50. 2025
    Don't Half-listen: Capturing Key-part Information in Continual Instruction TuningYongquan He, Wenyuan Zhang, Xuancheng Huang … Cai, XunliangACL
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About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It lists only papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or led by someone who has published there, or cited a few hundred times, and only papers with a PDF we can point you at, so every title opens the paper itself. Preprints that later get accepted, and authors who later publish at those venues, are picked up by the weekly run. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.